Regional Impacts of non-R&D Innovation Expenditures across the EU Regionssimulation Results Using the Rhomolo CGE Model
- Diukanova, Olga
- López-Rodríguez, Jesús
ISSN: 1695-7253, 2340-2717
Año de publicación: 2014
Título del ejemplar: Rhomolo and the European cohesion policy
Número: 29
Páginas: 91-111
Tipo: Artículo
Otras publicaciones en: Investigaciones Regionales = Journal of Regional Research
Resumen
En la Unión Europea una parte importante de la innovación se atribuye a actividades que no son estrictamente I+D como la compra de maquinaria avanzada, compra de licencias y patentes y modificaciones menores en productos y procesos. Este tipo de actividades reciben una financiación importante por parte de la política de cohesión europea. En este trabajo se utiliza el modelo espacial de equilibrio general RHOMOLO para evaluar tanto a corto plazo como a medio plazo el impacto económico ex-ante de los subsidios a este tipo de actividades proporcionados por la política de cohesión europea en el período 2014-2020 a las regiones NUTS2 de la UE27. Los resultados de las simulaciones realizadas muestran que los mayores incrementos en los niveles de bienestar (PIB, producción, y consumo de los hogares) se observan en las regiones de los países del este de Europa que son aquellas que recibieron la mayor proporción de financiación. Además, la magnitud de los impactos macroeconómicos se correlaciona positivamente con la cantidad de subsidios asignados a las regiones.
Referencias bibliográficas
- Aghion, P., and Howitt, P. (2007): «Capital, Innovation and Growth accounting», Oxford Review of Economic Policy, 23, 1, pp. 79-93.
- Arundel, A.; Bordoy, C., and Kanerva, M. (2008): «Neglected innovators: how do innovative firms that do not perform R&D innovate?», Results of an analysis of the Innobarometer 2007 survey No. 215, INNOMetrics Thematic Paper.
- Badri Narayanan, G., Aguiar, A., and McDougall, R. (eds.) (2012): Global Trade, Assistance, and Production: The GTAP 8 Data Base, Center for Global Trade Analysis, Purdue University, https://www.gtap.agecon.purdue.edu/databases/v8/default.asp.
- Baumol, W. J. (1967): «Macroeconomics of Unbalanced Growth: The Anatomy of Urban Crisis », The American Economic Review, 57, pp. 415-426.
- Baumol, W. J.; Blackman, S. A. B., and Wolff, E. N. (1985): «Unbalanced Growth Revisited: Asymptotic Stagnancy and New Evidence», the American Economic Review, 75(4), pp. 806-817.
- Bayar, A. (2007): Study on the Impact of Convergence Interventions 2007-2013, working paper, ULB/EcoMOD.
- Brandsma, A.; Kancs, D.; Monfort, P., and Rillaers, A. (2013): «RHOMOLO: A Regional- based Spatial General Equilibrium Model for Assessing the Impact of Cohesion Policy », JRC-IPTS Working Paper Series JRC81133, European Commission, DG Joint Research Centre.
- Bye, B.; Heggedal, T.-R.; Fæhn, T., and Strøm, B. (2006): «A CGE model of induced technological change: A detailed model description», Statistics Norway, http://www.ssb.no/a/ english/publikasjoner/pdf/doc_200611_en/doc_200611_en.pdf. CIS: Community Innovation Survey, http://epp.eurostat.ec.europa.eu/statistics_explained/index. php/Innovation_statistics.
- Crepon, B.; Duguet, E., and Mairesse, J. (1998): «Research, Innovation and Productivity: An Econometric Analysis at the Firm Level», Economics of Innovation and New Technology, 7(2), pp. 115-158.
- EU Commission (2009-2013): Infrastructure - TEN-T, http://ec.europa.eu/transport/themes/ infrastructure/index_en.htm.
- Crepon, B.; Duguet, E., and Mairesse, J. (2010): Europe 2020 Strategy, http://ec.europa.eu/europe2020/indexen.htm.
- Christodoulakis, N., and Kalyvitis, S. (2000): «The effects of the Second Community Support Framework 1994-99 on the Greek Economy», Journal of Policy Modelling, 22(5) pp. 611-624.
- EU Commission (2010): The Lisbon Treaty: a comprehensive guide, http://europa.eu/legislation_ summaries/institutional_affairs/treaties/lisbon_treaty/index_en.htm.
- EU Commission (2013): The future of the ESF: 2014-2020, http://ec.europa.eu/esf/main.jsp?catId=62& langId=en.
- EU KLEMS (2011): Growth and Productivity Accounts, http://www.euklems.net/.
- Eurostat (2006): Regions in the European Union. Nomenclature of territorial units for statistics NUTS 2006/EU-27, http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-RA-07-020/ EN/KS-RA-07-020-EN.PDF.
- Eurostat (2012): R&D expenditure, http://epp.eurostat.ec.europa.eu/statistics_ explained/index. php/R_%26_D_expenditure.
- Eurostat (2013): Concepts and Definitions. Eurostat’s Concepts and Definitions Database, http:// ec.europa.eu/eurostat/ramon/index.cfm?TargetUrl=DSP_PUB_WELC.
- Griliches, Z., (1995): «R&D and productivity: econometric results and measurement issues», in: Stoneman, P. (ed.), Handbook of Economics of Innovation and Technological Change, Blackwell, Oxford, pp. 52-89.
- Griliches, Z., (2000): R&D, Education and Productivity, Harvard Univ. Press.
- Grossman, G., and Helpman, E. (1991): «Trade, knowledge spillovers, and growth», European Eco- nomic Review, Elsevier, vol. 35(2-3), pp. 517-526.
- Grossman, G., and Helpman, E. (1994): «Endogenous Innovation in the Theory of Growth», Journal of Economic Perspectives, American Economic Association, vol. 8(1), pp. 23-44.
- Havlik, P. (2013): «The Structural Change and Economic Growth in the New EU Member States», Vienna Institute for International Economic Studies, http://wiiw.ac.at/structuralchange- productivity-and-employment-in-the-new-eu-member-states-p-302.html.
- Hervas-Oliver, J. L., and Albors-Garrigos, J. (2011): Making sense of innovation by R&D and non-R&D innovators in low technology contexts: a forgotten lesson for policymakers, Instituto Valenciano de Investigaciones Económicas WP-EC 2011-06, http://www.ivie.es/ downloads/docs/wpasec/wpasec-2011-06.pdf.
- Hirsch-Kriensen, H. (2008): «Low-Tech Innovations», Industry and Innovation, 15, 1, 19-43.
- Janz, N.; Lööf, H., and Peters, B. (2004): «Firm Level Innovation and Productivity - Is There a Common Story Across Countries?», Problems and Perspectives in Management, vol. 2, pp. 184-204.
- JRC IPTS (2005-2010): TRANS-TOOLS Documentation, http://energy.jrc.ec.europa.eu/transtools/ documentation.html.
- Janz, N.; Lööf, H., and Peters, B. (2009-2013): Regional Economic Modelling, http://ipts.jrc.ec.europa.eu/activities/research- and-innovation/regional_ economic_modelling.cfm.
- Kancs, d’A., and Siliverstovs, B.(2012): «R&D and Non-linear Productivity Growth of Heterogeneous Firms», LICOS Discussion Paper, 321.
- Khan, M.; Luintel, K. B., and Theodoridis, K. (2010): «How Robust is the R&D - Productivity relationship? Evidence from OECD Countries», WIPO economic research working papers, http://www.wipo.int/export/sites/www/econ_stat/en/economics/pdf/wp1.pdf.
- Křístková, Z. (2013): «Analysis of private R&D effects in a CGE model with capital varieties: the case of the Czech republic», the Czech journal of economics and finance, vol. 63, issue: 3, pp. 262-287.
- Lööf, H.; Heshmati, A. (2002): «Knowledge Capital and Performance Heterogeneity: A Firm-Level Innovation Study», International Journal of Production Economics, 76(1), pp. 61-85.
- López-Rodríguez, J., and Martínez, D. (2014): «Looking beyond the R&D effects on innovation: The contribution of non-R&D activities to total factor productivity growth in the EU», European Commission JRC Technical Reports, JRC86054.
- Mairesse, J.; and Sassenou, M. (1991): «R&D and Productivity: A Survey of Econometric Studies at the Firm Level», NBER Working Paper 3666, NBER Working Paper Series, National Bureau of Economic Research, Cambridge, MA.
- Martin, C.; Mulas-Granados, C., and Sanz, I. (2005): «Spatial distribution of R & D expenditure and patent applications across EU regions and its impact on economic cohesion», Investigaciones regionales (6), 41-62.
- Mathiesen, L. (1985): «Computation of Economic Equilibrium by a Sequence of Linear Complementarity Problems», Mathematical Programming Study, North-Holland, pp. 144-162.
- OECD (2001): Measuring Capital: Measuring of Capital Stocks, Consumption of Fixed Capital and Capital Services.
- Ortega-Argilés, R., and Moreno, R. (2009): «Evidence on the role of ownership structure on firms’ innovative performance», Investigaciones regionales (15), 231-250.
- Rammer, C.; Czarnitzki, D., and Spielkamp, A. (2009): «Innovation Success of Non-R&D-Performers: Substituting Technology by Management in SMEs», Small Business Economics, vol. 33, pp. 35-58.
- Rammer, C.; Koehler, C.; Schwiebacher, F.; Murmann, M.; Kinkel, S.; Kirner, E.; Schubert, T., and Som, O. (2011): Studien zum deutschen Innovationssystem, Nr. 15-2011, Expertenkommission Forschung und Innovation (EFI), TU Berlin.
- Romer, P. (1990): «Endogenous Technological Change», Journal of Political Economy, vol. 98(5), pp. 71-102.
- Rutherford, T. F. (2002): Lecture Notes on Constant Elasticity Functions, University of Colorado, www.gamsworld.eu/mpsge/debreu/ces.pdf.
- Solow, R. M. (1956): «A Contribution to the Theory of Economic Growth», Quarterly Journal of Economics, 19, 33-41.
- Som, O. (2012): Innovation without R&D. Heterogeneous Innovation Patterns of Non-R&DPerforming Firms in the German Manufacturing Industry, Springer Gabler, Wiesbaden.
- Som, S.; Kirner, E., and Jäger, A. (2010): Absorptive capacity of non-R&D-intensive firms in the German manufacturing industry, Paper presented at the 35th DRUID Celebration Conference 2013, Barcelona, Spain, June 17-19.
- Timmer, M. P., and Szirmai, A. (2000): «Productivity Growth in Asian Manufacturing: the Structural Bonus Hypothesis Examined», Structural Change and Economic Dynamics, 11, 371-392.
- Varga, A.; Járosi, P., and Sebestyén, T. (2011): Modeling the economic impacts of regional R&D subsidies:The GMR-Europe model and its application for EU Framework Program policy impact simulations, http://dimetic.dime-eu.org/dimetic_files/Vargaetal2011.pdf.
- Varga, J., in’t Veld, J. (2009): «A Model-based Analysis of the Impact of Cohesion Policy Expenditure 2000-06: Simulations with the QUEST III endogenous R&D model», DG Economic and Financial Affairs, European Commission, European Economy Economic Papers, no. 387, http://ec.europa.eu/economy_finance/research/macroeconomic_models_ en.htm.
- Whalley, J., and Yeung B. (1984): «External Sector Closing Rules in Applied General Equilibrium Models», Journal of International Economics, 16, 123-38.
- WIOD (2010): World Input-Output Database, http://www.wiod.org/new_site/database/wiots. htm.